Charity Majors, Liz Fong-Jones, George Miranda | Observability Engineering. Achieving Production Excellence. 2nd Edition (2026) [PDF, EPUB]
Автор: Charity Majors, Liz Fong-Jones, George Miranda
Издательство: O'Reilly Media
ISBN: 979-8-341-60841-2, 978-1492076445
Жанр: Data Warehousing, Software Testing, Database Storage & Design
Язык: Английский
Формат: PDF, EPUB
Качество: Изначально электронное (ebook)
Иллюстрации: Цветные и черно-белые
Описание:Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experience of each and every user. This practical book explains the value of observable systems and shows you how to practice observability-driven development.
Authors Charity Majors, Liz Fong-Jones, and George Miranda from Honeycomb explain what constitutes good observability, show you how to improve upon what you're doing today, and provide practical dos and don'ts for migrating from legacy tooling, such as metrics, monitoring, and log management. You'll also learn the impact observability has on organizational culture (and vice versa).
You'll explore:
How the concept of observability applies to managing software at scale
The value of practicing observability when delivering complex cloud native applications and systems
The impact observability has across the entire software development lifecycle
How and why different functional teams use observability with service-level objectives
How to instrument your code to help future engineers understand the code you wrote today
How to produce quality code for context-aware system debugging and maintenance
How data-rich analytics can help you debug elusive issues
Preface xxv
Part I. Introduction to Observability
Chapter 1. What Is Observability? 3
Chapter 2. How Code Crosses Over: Validating Developer Intent in Production 19
Chapter 3. The Origins of Observability in Software 39
Part II. Instrumentation Fundamentals
Chapter 4. Getting Started with Instrumentation 51
Chapter 5. Structured Events Are the Building Blocks of Observability 63
Chapter 6. Making Structured Events Arbitrarily Wide 85
Chapter 7. Instrumenting Your Code with OpenTelemetry 113
Part III. Analysis Workflows
Chapter 8. Getting Started with Observability Analysis 135
Chapter 9. Observability-Driven Development 149
Chapter 10. The Role of AI Agents for Observability 161
Chapter 11. Using Service Level Objectives for Reliability 173
Part IV. Observability Technical Deep Dives
Chapter 12. Acting On and Debugging SLO-Based Alerts 195
Chapter 13. Efficient Data Storage with Retriever 215
Chapter 14. Efficient Data Storage with ClickHouse 239
Chapter 15. Cheap and Accurate Enough Sampling 275
Chapter 16. Telemetry Management with Pipelines 293
Chapter 17. Ontologies as a Shared Language for Humans and AI 311
Part V. Observability Use Cases
Chapter 18. Observability for CI/CD Pipelines 327
Chapter 19. Observability for Mobile and Frontend 343
Chapter 20. Performance Engineering with Observabilit 369
Chapter 21. Observability for Large Language Models 391
Chapter 22. Fin’s Case Study in Modern Engineering 403
Part VI. Observability Governance
Chapter 23. Organizational Learning Speed Is Now Your Biggest Constraint: An Open Letter to CTOs 419
Chapter 24. Systems Thinking for Software Delivery 435
Chapter 25. The Observability Landscape Through a Systems Lens 451
Chapter 26. The Business Case for Observability 465
Chapter 27. Diagnosing Your Observability Investment 479
Chapter 28. The Organizational Shift 487
Chapter 29. Build Versus Buy (Versus Open Source) 507
Chapter 30. The Art and Science of Vendor Partnerships 533
Chapter 31. Instrumentation for Observability Teams 557
Chapter 32. Where Do We Go From Here? 571
Index 581
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Время раздачи: с 10 до 20 (минимум до появления первых 3-5 скачавших) 
